Hernández Juan David, Istenič Klemen, Gracias Nuno, Palomeras Narcís, Campos Ricard, Vidal Eduard, García Rafael, Carreras Marc
Underwater Vision and Robotics Research Center (CIRS), Computer Vision and Robotics Institute (VICOROB), University of Girona, C\Pic de Peguera, 13 (La Creueta), 17003 Girona, Spain.
Sensors (Basel). 2016 Jul 26;16(8):1174. doi: 10.3390/s16081174.
We present an approach for navigating in unknown environments while, simultaneously, gathering information for inspecting underwater structures using an autonomous underwater vehicle (AUV). To accomplish this, we first use our pipeline for mapping and planning collision-free paths online, which endows an AUV with the capability to autonomously acquire optical data in close proximity. With that information, we then propose a reconstruction pipeline to create a photo-realistic textured 3D model of the inspected area. These 3D models are also of particular interest to other fields of study in marine sciences, since they can serve as base maps for environmental monitoring, thus allowing change detection of biological communities and their environment over time. Finally, we evaluate our approach using the Sparus II, a torpedo-shaped AUV, conducting inspection missions in a challenging, real-world and natural scenario.
我们提出了一种在未知环境中导航的方法,同时利用自主水下航行器(AUV)收集水下结构检查信息。为此,我们首先使用自己的管道在线绘制地图并规划无碰撞路径,这使AUV能够在近距离自主获取光学数据。利用这些信息,我们接着提出了一个重建管道,以创建检查区域的逼真纹理3D模型。这些3D模型在海洋科学的其他研究领域也特别受关注,因为它们可作为环境监测的基础地图,从而实现对生物群落及其环境随时间变化的检测。最后,我们使用“ Sparus II”(一种鱼雷形状的AUV)在具有挑战性的真实世界自然场景中执行检查任务,对我们的方法进行评估。